Information-theoretic measures of uncertainty for rough sets and rough relational databases

  • Authors:
  • Theresa Beaubouef;Frederick E. Petry;Gurdial Arora

  • Affiliations:
  • Computer Science Department, Xavier University of Louisiana, New Orleans, LA 70125, USA;Center for Intelligent and Knowledge-Based Systems, Tulane University, Department of Electrical Eng. & Comp. Sci., New Orleans, LA 70118, USA;Math Department, Xavier University of Louisiana, New Orleans, LA 70125, USA

  • Venue:
  • Information Sciences: an International Journal
  • Year:
  • 1998

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Abstract

Rough set theory has become well-established as a mechanism for uncertainty management in a wide variety of applications including databases. This paper addresses the measurement of uncertainty in rough sets and rough relational databases by introducing a measurement based on information theory. This rough entropy is discussed as it applies to rough sets in general, and in particular to aspects of the rough relational database model.